- Job Description: Swiggy Hiring Data Engineer
- Position: Data Engineer
- Location: Remote/Work From Home
- Company: Swiggy
- Degree: Any Graduate Can Apply
- Salary: INR 4-8/- LPA
- Experience: 0-3 years of experience
About Swiggy:
Swiggy is certainly one of India’s primary meal delivery systems, revolutionizing the manner human beings order meals and groceries. With a venture to supply consolation to hundreds of thousands of families, Swiggy leverages contemporary generation and statistics-driven insights to provide seamless and green delivery services.
As a hastily developing agency, Swiggy is constantly innovating to enhance consumer revel in and operational usual performance.
Role Overview: Swiggy Hiring Data Engineer
As a Data Engineer at Swiggy, you may be at the main edge of records-driven desire-making. Your primary obligation is probably to format, grow, and maintain scalable statistics pipelines and architectures that help various organization needs.
You will work cautiously with records scientists, analysts, and one-of-a-kind engineering teams to make sure that information is obtainable, dependable, and ready for evaluation. This role is ideal for someone who is captivated by facts, has an eager eye for elements, and thrives in a brief-paced, dynamic environment.
Key Responsibilities:
1. Data Pipeline Development:
- Design, construct, and hold robust and scalable ETL (Extract, Transform, Load) pipelines to manner massive volumes of facts from a couple of properties.
- Ensure statistics integrity, exceptional, and consistency all through extraordinary information structures and environments.
2. Data Integration:
- Integrate records from severa belongings, inclusive of databases, APIs, and outside records companies, into Swiggy’s facts environment.
- Develop and put into effect data fashions to beneficial useful resource analytical and industrial business enterprise intelligence desires.
3. Database Management:
- Manage and optimize statistics storage solutions, together with relational databases, NoSQL databases, and statistics lakes.
- Implement facts partitioning, indexing, and commonplace overall performance tuning techniques to make certain inexperienced facts retrieval.
4. Collaboration:
- Work carefully with facts scientists, analysts, and industrial organization stakeholders to recognize their facts requirements and deliver solutions that meet their goals.
- Collaborate with software program engineers to embed data engineering solutions into production structures.
5. Automation and Optimization:
- Automate information processing workflows to lower guide intervention and decorate performance.
- Continuously display screen and optimize statistics pipelines for average performance, scalability, and price effectiveness.
6. Data Governance:
- Implement and place into impact facts governance rules to make sure information privacy, safety, and compliance with applicable hints.
- Maintain entire documentation of statistics engineering techniques, information flows, and technical specifications.
7. Innovation:
- Stay up to date with the present-day tendencies and era in facts engineering and large facts.
- Propose and put into effect progressive solutions to enhance statistics infrastructure and skills.
Required Qualifications: Swiggy Hiring Data Engineer
- Education: Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or an associated discipline.
- Experience: Minimum of three years of revel in in records engineering, facts structure, or an associated characteristic.
- Technical Skills: Proficiency in SQL and experience with relational databases together with MySQL, PostgreSQL, or Oracle.
Strong programming skills in languages inclusive of Python, Java, or Scala.
Experience with big records generation which incorporates Hadoop, Spark, Kafka, or similar frameworks.
Familiarity with cloud structures like AWS, GCP, or Azure, and enjoy cloud-based definitely absolutely information garage solutions (e.g., S3, BigQuery).
Knowledge of information warehousing requirements and revel in facts warehouse answers like Redshift or Snowflake. - Soft Skills: Excellent problem-solving and analytical skills.
Strong verbal exchange and collaboration skills.
Ability to work independently and manipulate more than one responsibility in a much-flung artwork surroundings.
Why Join Swiggy Hiring Data Engineer?
- Innovative Environment: Be part of a corporation that is at the leading edge of the meals delivery enterprise, leveraging generation and information to stress innovation.
- Growth Opportunities: Swiggy offers sufficient possibilities for professional growth and improvement in a dynamic and rapid-paced environment.
- Work-Life Balance: Enjoy the electricity of strolling from domestic while contributing to impactful tasks.
- Collaborative Culture: Work with a talented and various institution that values collaboration, creativity, and continuous improvement.
How to Apply for Swiggy Hiring Data Engineer?
Interested candidates are endorsed to by using manner of manner of submitting their resume and a cowl letter detailing their relevant experience and why they may be a terrific in shape for this function. Swiggy is an equal possibility business business enterprise company and welcomes applicants from all backgrounds.
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